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12 Completely Outdated SEO Practices You Should Avoid

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Search engines work towards improving their algorithms on an ongoing basis to ensure a positive experience for search users.

As a part of these efforts, they will identify and remove anything they deem as low quality or spam from search engine results pages.

What does that mean for marketers? If you aren’t updating your tactics as frequently as search engines update their quality guidelines, your website may fall behind your competition in rankings.

In this post, we’ll discuss the outdated SEO and marketing tactics that you should remove from your marketing playbook.

1. Misusing Keywords

There are so many ways webmasters and marketers continue to misunderstand keywords’ role in general SEO initiatives, and how they should be used in the day-to-day strategy.

Let’s take a more granular look at specific types of keyword misuse and mismanagement, including irrelevant usage, writing for a specific keyword density, and keyword stuffing.

Irrelevant Keyword Targeting/Confusion

All too often, novice SEO practitioners try and fit their content and messaging within the confines of their keyword research (and not much else).

They will shape the content and its metadata to represent keywords it’s not properly aligned with, nor the proper intent of the users conducting the searches for the high-volume keywords being targeted.

This causes brands to lose the attention of readers before ever having the chance to communicate a real message with them.

If the keywords marketed for don’t align with the content on the page, the disconnect will hinder the success of content — even if it’s otherwise of good quality.

Don’t try to mislead users and direct them to content that is misrepresented by high-volume keywords in order for increased visibility.

Google knows what this looks like, and it can truly be defined as an obsolete SEO practice (as well as a “black hat” technique, in many instances).

Keyword Density

Writing for a specific keyword density, like many keyword-focused marketing tactics, is just missing the mark.

Google no longer depends on keyword density (or the ratio of specific keyword usage to the overall page copy) to determine whether a webpage is an effective source for answering a search query.

It is so much more advanced than simply crawling for keywords. Search engines like Google use a multitude of signals to determine search results.

While keywords remain important to the topics and ideas they represent, they are not the lifeline for ranking for high-value search queries.

The quality of content and how the messaging is delivered are the lifeline for that.

Keyword Stuffing

This is probably the oldest trick in the book.

SEO is about keywords, right?

So, loading up our webpages with keywords – especially the same high-value keyword we are aggressively targeting throughout the website – is going to help us show up higher in search, thus outranking our competition. Right?

Absolutely not.

Search engines have, for a long time, known what keyword stuffing is and what kind of text combinations are unnatural. They notice these as attempts to manipulate search results and demote the content as such.

Yes, there may still be valuable content that uses simple keyword stuffing, either intentionally or unintentionally, that is not demoted because of its actual value to users.

Back in the day, webmasters trying to game the system would go as far as putting every keyword variation of a high-value keyword in the website footer.

Or, even more sketchily, they might make those keywords the same color as the site’s background, effectively hiding them from humans but not the search engine crawlers.

Webmasters have also tried this with links. Don’t do anything like this.

Remember, you’re writing for humans, not search engines.

2. Writing for Robots

It’s important to understand that writing unnaturally is, well, not natural.

And search engines know it.

This misplaced belief is: Writing for the web means we should repeat a subject by its proper name every time it is mentioned, working in variations and plural/non-plural versions of the word so that “all bases are covered.”

When crawled, the crawlers see the keyword repeated, and in several different versions, thus leading the page to rank well for the keyword variations used (over and over… and over again).

This just doesn’t work anymore.

Search engines are advanced enough to understand repeated keywords, their variations, and the unfavorable experience of generally bad content.

Write for humans, not search engine crawlers or any other robot.

3. Article Marketing

Any attempt to game the system doesn’t usually work out in the world of SEO.

But that doesn’t stop people from trying.

Especially when these tactics offer noticeable improvements to a brand, its website, and/or its associated digital properties.

Sure, article directories worked. And they worked pretty darn good for a long time, too.

Commonly considered one of the earliest forms of digital marketing, article syndication was low-hanging fruit to those in the know. And it made sense since the idea was similar to other channels like TV and print that already use syndicated content regularly.

But Google eventually caught on, unleashing its game-changing Panda update in 2011.

Panda chewed up the search landscape, targeting content farms and directories, as well as other websites offering crap content (whether it was simply bad/false, horribly written, made no sense, was stolen from someone else, etc.).

The idea behind article marketing doesn’t make sense in today’s world, where your high-quality content needs to be original and demonstrate expertise, authority, and trustworthiness.

4. Article Spinning

Typically done with software, article spinning is the black hat tactic of trying to recreate quality content using different words, phrases, and organization.

Essentially, the end result was a garbled mess of an article that made the same points as the source material.

It’s no surprise this isn’t effective anymore.

While AI is getting better all the time at creating content, anything generated by a machine is still of a lower quality than what a human can produce – something original, helpful, and of substance.

5. Buying Links

This one is still biting webmasters many years later.

Like most SEO tactics, if it seems shady, you probably shouldn’t do it.

Buying links is no different.

Once upon a time, it was routine practice to quickly pay to get a high volume of links pointing at your site.

Now we know that backlink profiles need to be maintained and optimized just like the websites we oversee, and low-quality domains with far too many backlinks pointing to a website may be dangerous to a website’s health.

Google can easily identify low-quality sites, and it will also identify when those sites are sending an abundance of links out that they shouldn’t be.

Today, if you want to legitimately help boost the authority and visibility of your website, you need to earn links — not pay someone to build them manually.

6. Overusing Anchor Text

Internal linking is a characteristic of any good site structure and user experience.

This is typically done with anchor text, an HTML element that allows us to tell users what type of content they can expect if they click on a link.

There are various types of anchor text (branded, naked, exact-match, website/brand name, page title and/or headline, etc.), but some have most certainly become more favorable than others, depending on the usage and situation.

In the past, using exact-match and keyword-rich anchor text were standard SEO best practices.

Since Penguin, Google has been better at identifying over-optimized content.

This goes back to the Golden Rule about producing well-constructed content that is user-friendly and natural.

If you’re optimizing for search engines and not humans, you’re likely going to fail.

7. Practicing Obsolete Keyword Research Tactics

Keywords have certainly gone through some drastic changes over the last five to 10 years.

Marketers used to have a plethora of keyword-level data at their fingertips, allowing us to see what works well for our brand and what doesn’t, but also to get a better understanding of idea targeting and user intent.

Much of this went to the wayside with keyword “(not provided)”.

In the years following, tools popped up that tried to replicate keyword data. But to fully recreate it correctly is simply impossible.

And yet, even with that now-stripped keyword data, marketers are required to do keyword research of their own to get an understanding of the industry, the competition, the geographic region, etc.

To do this, many marketers turn to Google’s free Keyword Planner. While the data in there has been subject to some scrutiny over the years, it’s a free Google-owned product that gives us data we previously couldn’t really come by, so many of us continue to use it (myself included).

But it’s important to remember what the data actually represents for keywords.

“Competition” in the Keyword Planner pertains solely to paid competition and traffic, thus it is practically useless to build an organic search strategy around this data.

Some alternatives to this are the Moz Keyword Explorer tool and Semrush’s Keyword Magic Tool, both of which are paid tools.

Google Trends is helpful for this type of competitive analysis, too, and it’s free.

8. Creating Pages for All Keyword Variations

This was once a useful tactic to rank well for all the variations of high-value keywords targeted by your brand and its messaging.

Fortunately, algorithm updates like HummingbirdRankBrain, and others have helped Google understand that variations of the same word are, in fact, all related to the same topic.

The best, most useful content around these entities should be most visible due to the value it offers users on the topic, not just one variation of the word.

Aside from the fact that this will lead to brutal site self-cannibalization, it makes a website considerably harder to use and navigate since the content will be so incredibly similar.

The negative user experience alone is reason enough not to do this. But the added fact that Google knows better than to overlook this practice makes it a no-brainer.

This tactic evolved and eventually helped lead to the inception of many content farms that were targeting traffic solely for their keyword value and visibility.

This was attributed to the “old way” of optimizing a website – for keywords and search engines, rather than users and their intent.

9. Targeting Exact-Match Search Queries

The tactic of targeting exact-match search queries in hopes to rank for those queries solely for the traffic numbers – and not because the search query or its answer actually pertained to the business optimizing for it – became a somewhat popular practice before the full deployment of the Google Knowledge Graph.

Marketers would strive to rank in the top spot for exact-match search queries to trigger a breakout box and an increased click-through rate for their sites.

10. Buying Exact-Match Domains

Having high-value keywords in your URL makes sense. To some extent.

But when it becomes confusing or misleading (i.e., it results in a bad user experience), you have to draw the line.

A main best practice for domains is to keep them consistent with your brand.

Brand names should be short, concise, and somewhat meaningful.

Why wouldn’t you want the same from your domain?

Google would value exact-match domains a long time ago because it made sense to use it as a signal.

The behavioral data now has helped Google make changes like this (and many others) that are common sense, clean-up moves.

Run a good company and offer great products and/or services under the brand name, and Google will do the work of making your brand visible when it’s relevant to the people searching for it.

11. Relying on Third-Party Domain Authority Scores

Have you built a link building or content distribution campaign off of a list of high-quality sites?

If the list ranked websites based on domain authority alone, then you will have to do further analysis to ensure the websites you are contacting are valuable to your campaign.

  • Is the content on the website relevant to what you are promoting?
  • Does the website receive organic search traffic from relevant keywords?
  • If traffic from North America is important to your business, does the website receive traffic from that region?
  • Are the incoming links to the website relevant?

Domain authority scores can help you filter out some quality sites. But they shouldn’t be the only metric/factor you rely on in your marketing strategy.

12. Publishing Subpar Content

Face it. There was a time in our world when crappy content could rank well.

Oh, how times have changed.

Stolen content, thin content, keyword-stuffed content, non-credible content – all of this could get by search engine crawlers and regurgitated back to users as worthy results.

But no more.

We know what it takes to make quality content that is rewarded by search engines because they tell us what’s right and what’s wrong.

If you want to succeed at SEO today, you must do what’s right.

You need to be the best answer.

When you’re ready to create a new piece of content, start by researching the content that ranks for your target keywords. Chances are, the content on the first page of search results is above average quality.

Thus, your content needs to be above average quality if you want to ultimately outrank your competitors.

Once you write the first draft, have an editor fine-tune your content. They can fix mistakes you may overlook and enhance the overall readability of your content for visitors.

If you can’t hire an editor, you can run your content through AI editors like the Hemingway Editor, Grammarly, or ProWritingAid.

Key Takeaways

Outdated SEO tactics may seem like an easy win for your search marketing campaign. But in the long run, the low-hanging fruit could poison your marketing efforts.

Avoid anything that could be considered low-quality or spam in your search marketing to ensure the safety of your rankings from changes to the Google algorithm.

More SEO Resources:


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No Algorithmic Actions For Site Reputation Abuse Yet

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Looking up at an angle at the Google sign on the Head Office for Canada

Google’s Search Liaison, Danny Sullivan, has confirmed that the search engine hasn’t launched algorithmic actions targeting site reputation abuse.

This clarification addresses speculation within the SEO community that recent traffic drops are related to Google’s previously announced policy update.

Sullivan Says No Update Rolled Out

Lily Ray, an SEO professional, shared a screenshot on Twitter showing a significant drop in traffic for the website Groupon starting on May 6.

Ray suggested this was evidence that Google had begun rolling out algorithmic penalties for sites violating the company’s site reputation abuse policy.

However, Sullivan quickly stepped in, stating:

“We have not gone live with algorithmic actions on site reputation abuse. I well imagine when we do, we’ll be very clear about that. Publishers seeing changes and thinking it’s this — it’s not — results change all the time for all types of reasons.”

Sullivan added that when the actions are rolled out, they will only impact specific content, not entire websites.

This is an important distinction, as it suggests that even if a site has some pages manually penalized, the rest of the domain can rank normally.

Background On Google’s Site Reputation Abuse Policy

Earlier this year, Google announced a new policy to combat what it calls “site reputation abuse.”

This refers to situations where third-party content is published on authoritative domains with little oversight or involvement from the host site.

Examples include sponsored posts, advertorials, and partner content that is loosely related to or unrelated to a site’s primary purpose.

Under the new policy, Google is taking manual action against offending pages and plans to incorporate algorithmic detection.

What This Means For Publishers & SEOs

While Google hasn’t launched any algorithmic updates related to site reputation abuse, the manual actions have publishers on high alert.

Those who rely heavily on sponsored content or partner posts to drive traffic should audit their sites and remove any potential policy violations.

Sullivan’s confirmation that algorithmic changes haven’t occurred may provide temporary relief.

Additionally, his statements also serve as a reminder that significant ranking fluctuations can happen at any time due to various factors, not just specific policy rollouts.


FAQ

Will Google’s future algorithmic actions impact entire websites or specific content?

When Google eventually rolls out algorithmic actions for site reputation abuse, these actions will target specific content rather than the entire website.

This means that if certain pages are found to be in violation, only those pages will be affected, allowing other parts of the site to continue ranking normally.

What should publishers and SEOs do in light of Google’s site reputation abuse policy?

Publishers and SEO professionals should audit their sites to identify and remove any content that may violate Google’s site reputation abuse policy.

This includes sponsored posts and partner content that doesn’t align with the site’s primary purpose. Taking these steps can mitigate the risk of manual penalties from Google.

What is the context of the recent traffic drops seen in the SEO community?

Google claims the recent drops for coupon sites aren’t linked to any algorithmic actions for site reputation abuse. Traffic fluctuations can occur for various reasons and aren’t always linked to a specific algorithm update.


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WP Rocket WordPress Plugin Now Optimizes LCP Core Web Vitals Metric

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WP Rocket WordPress Plugin Now Optimizes LCP Core Web Vitals Metric

WP Rocket, the WordPress page speed performance plugin, just announced the release of a new version that will help publishers optimize for Largest Contentful Paint (LCP), an important Core Web Vitals metric.

Large Contentful Paint (LCP)

LCP is a page speed metric that’s designed to show how fast it takes for a user to perceive that the page is loaded and read to be interacted with. This metric measures the time it takes for the main content elements has fully loaded. This gives an idea of how usable a webpage is. The faster the LCP the better the user experience will be.

WP Rocket 3.16

WP Rocket is a caching plugin that helps a site perform faster. The way page caching generally works is that the website will store frequently accessed webpages and resources so that when someone visits the page the website doesn’t have to fetch the data from the database, which takes time, but instead will serve the webpage from the cache. This is super important when a website has a lot of site visitors because that can use a lot of server resources to fetch and build the same website over and over for every visitor.

The lastest version of WP Rocket (3.16) now contains Automatic LCP optimization, which means that it will optimize the on-page elements from the main content so that they are served first thereby raising the LCP scores and providing a better user experience.

Because it’s automatic there’s really nothing to fiddle around with or fine tune.

According to WP Rocket:

  • Automatic LCP Optimization: Optimizes the Largest Contentful Paint, a critical metric for website speed, automatically enhancing overall PageSpeed scores.
  • Smart Management of Above-the-Fold Images: Automatically detects and prioritizes critical above-the-fold images, loading them immediately to improve user experience and performance metrics.

All new functionalities operate seamlessly in the background, requiring no direct intervention from the user. Upon installing or upgrading to WP Rocket 3.16, these optimizations are automatically enabled, though customization options remain accessible for those who prefer manual control.”

Read the official announcement:

WP Rocket 3.16: Improving LCP and PageSpeed Score Automatically

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Optimizing Interaction To Next Paint: A Step-By-Step Guide

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Optimizing Interaction To Next Paint: A Step-By-Step Guide

This post was sponsored by DebugBear. The opinions expressed in this article are the sponsor’s own.

Keeping your website fast is important for user experience and SEO.

The Core Web Vitals initiative by Google provides a set of metrics to help you understand the performance of your website.

The three Core Web Vitals metrics are:

This post focuses on the recently introduced INP metric and what you can do to improve it.

How Is Interaction To Next Paint Measured?

INP measures how quickly your website responds to user interactions – for example, a click on a button. More specifically, INP measures the time in milliseconds between the user input and when the browser has finished processing the interaction and is ready to display any visual updates on the page.

Your website needs to complete this process in under 200 milliseconds to get a “Good” score. Values over half a second are considered “Poor”. A poor score in a Core Web Vitals metric can negatively impact your search engine rankings.

Google collects INP data from real visitors on your website as part of the Chrome User Experience Report (CrUX). This CrUX data is what ultimately impacts rankings.

Image created by DebugBear, May 2024

How To Identify & Fix Slow INP Times

The factors causing poor Interaction to Next Paint can often be complex and hard to figure out. Follow this step-by-step guide to understand slow interactions on your website and find potential optimizations.

1. How To Identify A Page With Slow INP Times

Different pages on your website will have different Core Web Vitals scores. So you need to identify a slow page and then investigate what’s causing it to be slow.

Using Google Search Console

One easy way to check your INP scores is using the Core Web Vitals section in Google Search Console, which reports data based on the Google CrUX data we’ve discussed before.

By default, page URLs are grouped into URL groups that cover many different pages. Be careful here – not all pages might have the problem that Google is reporting. Instead, click on each URL group to see if URL-specific data is available for some pages and then focus on those.

1716368164 358 Optimizing Interaction To Next Paint A Step By Step GuideScreenshot of Google Search Console, May 2024

Using A Real-User Monitoring (RUM) Service

Google won’t report Core Web Vitals data for every page on your website, and it only provides the raw measurements without any details to help you understand and fix the issues. To get that you can use a real-user monitoring tool like DebugBear.

Real-user monitoring works by installing an analytics snippet on your website that measures how fast your website is for your visitors. Once that’s set up you’ll have access to an Interaction to Next Paint dashboard like this:

1716368164 404 Optimizing Interaction To Next Paint A Step By Step GuideScreenshot of the DebugBear Interaction to Next Paint dashboard, May 2024

You can identify pages you want to optimize in the list, hover over the URL, and click the funnel icon to look at data for that specific page only.

1716368164 975 Optimizing Interaction To Next Paint A Step By Step GuideImage created by DebugBear, May 2024

2. Figure Out What Element Interactions Are Slow

Different visitors on the same page will have different experiences. A lot of that depends on how they interact with the page: if they click on a background image there’s no risk of the page suddenly freezing, but if they click on a button that starts some heavy processing then that’s more likely. And users in that second scenario will experience much higher INP.

To help with that, RUM data provides a breakdown of what page elements users interacted with and how big the interaction delays were.

1716368164 348 Optimizing Interaction To Next Paint A Step By Step GuideScreenshot of the DebugBear INP Elements view, May 2024

The screenshot above shows different INP interactions sorted by how frequent these user interactions are. To make optimizations as easy as possible you’ll want to focus on a slow interaction that affects many users.

In DebugBear, you can click on the page element to add it to your filters and continue your investigation.

3. Identify What INP Component Contributes The Most To Slow Interactions

INP delays can be broken down into three different components:

  • Input Delay: Background code that blocks the interaction from being processed.
  • Processing Time: The time spent directly handling the interaction.
  • Presentation Delay: Displaying the visual updates to the screen.

You should focus on which INP component is the biggest contributor to the slow INP time, and ensure you keep that in mind during your investigation.

1716368164 193 Optimizing Interaction To Next Paint A Step By Step GuideScreenshot of the DebugBear INP Components, May 2024

In this scenario, Processing Time is the biggest contributor to the slow INP time for the set of pages you’re looking at, but you need to dig deeper to understand why.

High processing time indicates that there is code intercepting the user interaction and running slow performing code. If instead you saw a high input delay, that suggests that there are background tasks blocking the interaction from being processed, for example due to third-party scripts.

4. Check Which Scripts Are Contributing To Slow INP

Sometimes browsers report specific scripts that are contributing to a slow interaction. Your website likely contains both first-party and third-party scripts, both of which can contribute to slow INP times.

A RUM tool like DebugBear can collect and surface this data. The main thing you want to look at is whether you mostly see your own website code or code from third parties.

1716368164 369 Optimizing Interaction To Next Paint A Step By Step GuideScreenshot of the INP Primary Script Domain Grouping in DebugBear, May 2024

Tip: When you see a script, or source code function marked as “N/A”, this can indicate that the script comes from a different origin and has additional security restrictions that prevent RUM tools from capturing more detailed information.

This now begins to tell a story: it appears that analytics/third-party scripts are the biggest contributors to the slow INP times.

5. Identify Why Those Scripts Are Running

At this point, you now have a strong suspicion that most of the INP delay, at least on the pages and elements you’re looking at, is due to third-party scripts. But how can you tell whether those are general tracking scripts or if they actually have a role in handling the interaction?

DebugBear offers a breakdown that helps see why the code is running, called the INP Primary Script Invoker breakdown. That’s a bit of a mouthful – multiple different scripts can be involved in slowing down an interaction, and here you just see the biggest contributor. The “Invoker” is just a value that the browser reports about what caused this code to run.

1716368165 263 Optimizing Interaction To Next Paint A Step By Step GuideScreenshot of the INP Primary Script Invoker Grouping in DebugBear, May 2024

The following invoker names are examples of page-wide event handlers:

  • onclick
  • onmousedown
  • onpointerup

You can see those a lot in the screenshot above, which tells you that the analytics script is tracking clicks anywhere on the page.

In contrast, if you saw invoker names like these that would indicate event handlers for a specific element on the page:

  • .load_more.onclick
  • #logo.onclick

6. Review Specific Page Views

A lot of the data you’ve seen so far is aggregated. It’s now time to look at the individual INP events, to form a definitive conclusion about what’s causing slow INP in this example.

Real user monitoring tools like DebugBear generally offer a way to review specific user experiences. For example, you can see what browser they used, how big their screen is, and what element led to the slowest interaction.

1716368165 545 Optimizing Interaction To Next Paint A Step By Step GuideScreenshot of a Page View in DebugBear Real User Monitoring, May 2024

As mentioned before, multiple scripts can contribute to overall slow INP. The INP Scripts section shows you the scripts that were run during the INP interaction:

1716368165 981 Optimizing Interaction To Next Paint A Step By Step GuideScreenshot of the DebugBear INP script breakdown, May 2024

You can review each of these scripts in more detail to understand why they run and what’s causing them to take longer to finish.

7. Use The DevTools Profiler For More Information

Real user monitoring tools have access to a lot of data, but for performance and security reasons they can access nowhere near all the available data. That’s why it’s a good idea to also use Chrome DevTools to measure your page performance.

To debug INP in DevTools you can measure how the browser processes one of the slow interactions you’ve identified before. DevTools then shows you exactly how the browser is spending its time handling the interaction.

1716368165 526 Optimizing Interaction To Next Paint A Step By Step GuideScreenshot of a performance profile in Chrome DevTools, May 2024

How You Might Resolve This Issue

In this example, you or your development team could resolve this issue by:

  • Working with the third-party script provider to optimize their script.
  • Removing the script if it is not essential to the website, or finding an alternative provider.
  • Adjusting how your own code interacts with the script

How To Investigate High Input Delay

In the previous example most of the INP time was spent running code in response to the interaction. But often the browser is already busy running other code when a user interaction happens. When investigating the INP components you’ll then see a high input delay value.

This can happen for various reasons, for example:

  • The user interacted with the website while it was still loading.
  • A scheduled task is running on the page, for example an ongoing animation.
  • The page is loading and rendering new content.

To understand what’s happening, you can review the invoker name and the INP scripts section of individual user experiences.

1716368165 86 Optimizing Interaction To Next Paint A Step By Step GuideScreenshot of the INP Component breakdown within DebugBear, May 2024

In this screenshot, you can see that a timer is running code that coincides with the start of a user interaction.

The script can be opened to reveal the exact code that is run:

1716368165 114 Optimizing Interaction To Next Paint A Step By Step GuideScreenshot of INP script details in DebugBear, May 2024

The source code shown in the previous screenshot comes from a third-party user tracking script that is running on the page.

At this stage, you and your development team can continue with the INP workflow presented earlier in this article. For example, debugging with browser DevTools or contacting the third-party provider for support.

How To Investigate High Presentation Delay

Presentation delay tends to be more difficult to debug than input delay or processing time. Often it’s caused by browser behavior rather than a specific script. But as before, you still start by identifying a specific page and a specific interaction.

You can see an example interaction with high presentation delay here:

1716368165 665 Optimizing Interaction To Next Paint A Step By Step GuideScreenshot of the an interaction with high presentation delay, May 2024

You see that this happens when the user enters text into a form field. In this example, many visitors pasted large amounts of text that the browser had to process.

Here the fix was to delay the processing, show a “Waiting…” message to the user, and then complete the processing later on. You can see how the INP score improves from May 3:

1716368165 845 Optimizing Interaction To Next Paint A Step By Step GuideScreenshot of an Interaction to Next Paint timeline in DebugBear, May 2024

Get The Data You Need To Improve Interaction To Next Paint

Setting up real user monitoring helps you understand how users experience your website and what you can do to improve it. Try DebugBear now by signing up for a free 14-day trial.

1716368165 494 Optimizing Interaction To Next Paint A Step By Step GuideScreenshot of the DebugBear Core Web Vitals dashboard, May 2024

Google’s CrUX data is aggregated over a 28-day period, which means that it’ll take a while before you notice a regression. With real-user monitoring you can see the impact of website changes right away and get alerted automatically when there’s a big change.

DebugBear monitors lab data, CrUX data, and real user data. That way you have all the data you need to optimize your Core Web Vitals in one place.

This article has been sponsored by DebugBear, and the views presented herein represent the sponsor’s perspective.

Ready to start optimizing your website? Sign up for DebugBear and get the data you need to deliver great user experiences.


Image Credits

Featured Image: Image by Redesign.co. Used with permission.

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